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6 days ago

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pautu227Cadet

asked in Metis M.2

Trying to setup rpi5 with metis m2

@Victor Labian I’m also trying to setup rpi5 with metis m2. I have question what host OS you was using and have you changed anything in config.txt?

20929

6 days ago

SaitejaCadet

asked in Metis M.2

Deploying the YOLOPv2 model on to Metis M2 for lane detection

Hi, I am also working on same thing deploying the YOLOPv2 model on to Metis M2. I have downloadded the data set from bdd100k and arranged in this manner.voyager-sdk/├── data/│ └── yolopv2_dataset/│ ├── images/│ ├── labels/│ ├── cal.txt│ ├── val.txt│ └── data.yaml├── customers/│ └── my_yolopv2/│ └── yolopv2.pt└── yolopv2-custom.yamlso when i am trying to deploy the model using yaml I am getting this error(venv) aravind@aravind-H610M-H-V2:~/Desktop/voyager-sdk$ ./deploy.py customers/my_yolopv2/yolopv2.yamlINFO : Using device metis-0:1:0INFO : Detected Metis type as pcieINFO : Compiling network yolopv2-custom /home/aravind/Desktop/voyager-sdk/customers/my_yolopv2/yolopv2.yamlINFO : Compile model: yolopv2-customINFO : Imported DataAdapter ObjDataAdaptor from /home/aravind/Desktop/voyager-sdk/ax_datasets/objdataadapter.py/home/aravind/.cache/axelera/venvs/93f45ae3/lib/python3.10/site-packages/torch/serialization.py:779: UserWarning: 'to

586

6 days ago

floritCadet

asked in Metis M.2

Metis M.2 on Raspberry Pi 5 - Driver Installation and Docker Setup Issues

hello I hijack this a little bit … once I type “lspci” it gave me following output on a pi 5 0001:00:00.0 PCI bridge: Broadcom Inc. and subsidiaries BCM2712 PCIe Bridge (rev 30)0001:01:00.0 Processing accelerators: Axelera AI Metis AIPU (rev 02)0002:00:00.0 PCI bridge: Broadcom Inc. and subsidiaries BCM2712 PCIe Bridge (rev 30)0002:01:00.0 Ethernet controller: Raspberry Pi Ltd RP1 PCIe 2.0 South Bridge how to activate the device and getting to work with my python3 script

13331

6 days ago

MehmetYigitCadet

asked in Metis M.2

Metis M.2 Accelerator Can't Recognized by Jetson AGX Orin

Hello.I recently received the m.2 metis accelerators and did a test on the boards provided by Axelera and got results close to the published benchmarks. It was succesful.I then connected these accelerators to the Orin (via the m.2 slot) in order to use them also for the my Jetson AGX Orin environment. But in the voyager-sdk installation i got “WARNING: Failed to refresh pcie and firmware” error. The installation completes but the accelerator device does not show up on my system. In lspci -tv command I get the output attached to this post. Can’t see metis there.I didn't see any information about the compatibility of these accelerators with Jetson systems (my m2 slot is M-key). If they are compatible, can you help me to fix the installation?Thanks :)

floritCadet

it ask me every time about token … yes I use my registered emailand I did not found any token in my accountwtf

8 days ago

zefirCadet

asked in Voyager SDK

Is graphical video output expected to work from within the docker SDK?

Hi all,I’m a docker noob, so please bear with me if this is a stupid question.To get the SDK operational on my Ubuntu-24.04 system I followed the Install Voyager SDK in a Docker Container and can make it up to test-running some inferences. Alas, while I expected the videos to be displayed in a dedicated window at full resolution, for me they are shown in the active text-console (ncurses-based I assume), obviously coarse and slow.I tried to learn how to activate graphics output from within docker, but all I got was that docker essentially is meant to be text-only and graphics usually is provided via web-browser of pages served from within docker.So to put it bluntly: those videos showing Voyager SDK performing object detection at exhibitions at full-resolution and full-framerate, are those from within docker or are they run from a native ubuntu-22 system?If it is possible to tune docker to have that video output, a mini-howto would help a lot.

212

13 days ago

zefirCadet

asked in Metis PCIe

Reset and resource allocation failures on Metis PCIe device on AMD64 system

Dear all,I am trying to get my hands on the Metis PCIe card on my current working PC, beingmainboard: Asus Prime X570-P CPU: AMD Ryzen 9 3900X OS: Ubuntu 24.04.2 LTS, 6.8.0-58-generic x86_64The first issue I face is that the warm-reset does not seem to work for me, i.e. if I issue a reboot without re-powering the system, the Metis device does not show up in lspci, while after a power-down (with physical PSU switching off) it is there. This is reproducible and based on my experience points to either my mainboard BIOS issuing a wrong reset sequence to the PCIe slot, or the device itself not issuing a full reset sequence on warm-boot. Since I know how to get the card detected, this is only an annoyance - but I saw that also another user of AMD64 system in the forum has similar issues and the problem might go deeper.Which leads to the second issue I am observing and which I filed already a support request but realized here would be the better place to discuss it.According to David M. to ch

8916

13 days ago

SpannerAxelera Team

asked in LLMs, NLP, Neural Networks

May the Source (Code) be With You!

May 4th is almost upon us, so naturally we’re thinking about AI… in space. More specifically: the AI and droid legends of the Star Wars universe.From multilingual protocol units to rogue assassin bots with surprising moral compasses, Star Wars has given us some of the most iconic (and occasionally chaotic) artificial intelligences in sci-fi.So here’s the question...

380

17 days ago

DrouenCadet

asked in Metis M.2

Troubleshooting installation

Hello my name is Kevin, i am trying to work on a project that the m.2 is going to interfere with my cpu and later on maybe my gpu.is there a way, and another question whats the command to go on rtsp? my system is:AMD 9950X3D CPUAMD 7900XTX GPU48 gb DDR5 on 8200MHZMetis Axelera AI on an m.2 port.

6512

18 days ago

oguzEnsign

asked in Metis M.2

Transforming the Attention mechanism into Convolutional

Hello,I know that axelera does not work in the attention mechanism. For example, can we convert the attention mechanism in the yolov11 architecture to convolution? Have you done any research or read on this subject? Does Softmax structure work in Axelera? (as far as I know, no) Is there a way to turn Softmax into a working structure?

642

20 days ago

oguzEnsign

asked in Metis M.2

How does Axelera speed up models?

Hello, is there a detailed document where I can learn about the Axelera chip architecture and how to do the quantization in it?Thanks

422

20 days ago

saravananEnsign

asked in The Axelera Forum

Deploying lane dection model (yolopv2.onnx) on metis M2

Hello,I am currently working on lane detection model (YOLOv2) which is in .pt format I have converted to ONNX format.Here are the terminal responses I have got..root@aetina:/voyager-sdk# cd YOLOPv2root@aetina:/voyager-sdk/YOLOPv2# lsLICENSE data demo2.py models runs yolopv2-envREADME.md demo.py export-onnx.py requirements.txt utilsroot@aetina:/voyager-sdk/YOLOPv2# cd modelsroot@aetina:/voyager-sdk/YOLOPv2/models# ls__pycache__ common.py experimental.py yolopv2.onnx yolopv2.ptroot@aetina:/voyager-sdk/YOLOPv2/models# I am having the ONNX format of the model so now I want to deploy the model onto Metis M2. When I am trying to compile the yolopv2.onnx model but i am encountering this issue.root@aetina:/voyager-sdk# /voyager-sdk/bin/voyager-compile models/yolopv2.onnx --output-dir build/yolopv2 --input-shape "1,3,640,640"bash: /voyager-sdk/bin/voyager-compile: No such file or directoryI request to guide me to successfully deploy the model.Note; I am using

534

21 days ago

ChinmayMulgundEnsign

asked in Metis M.2

Guidance on Running Lane Detection Model (culane_res18.onnx) on Metis M2

Hello,I am currently working with a lane detection model named culane_res18.onnx, and I would like to know how I can run this model on the Metis M2 device.Here are some details about the setup:The model is culane_res18.onnx, which is a lane detection model. The training dataset is from the CULane dataset, and I have the link to the dataset here. The model file can be found here.Could you kindly guide me on how to run this lane detection model on Metis M2? I would appreciate any step-by-step instructions or basic guidance on how to deploy this model, considering that I have both the ONNX model and the dataset.Looking forward to your response!Best regards,Chinmay Mulgund

17213

25 days ago

ChinmayMulgundEnsign

asked in Voyager SDK

Issues Deploying and Running yolov5m6.onnx on M.2

I am encountering issues when trying to deploy and run the YOLOv5m6 ONNX model on the Metis M.2. Below are the details of the steps I followed and the issues that arose:1. Deployment Process:I used the following command to deploy the model:./deploy.py customers/mymodels/yolov5m6-object-detection.yamlThe deployment was successful, but I encountered warnings about memory overflow during the buffer fitting process:LowerTIR failed to fit buffers into memory after iteration 0/4. Pool usage: {L1: alloc:4,195,840B avail:4,194,304B over:1,536B util:100.04%, L2: alloc:6,864,384B avail:8,077,312B over:0B util:84.98%, DDR: alloc:54,275,328B avail:260,046,848B over:0B util:20.87%}2. Inference Process:I then attempted to run inference with the following command:./inference.py c-yolov5m6-object-detection chinmay/Vehicle-CV-ADAS/assets/VID-20250208-WA0008.mp4 --save-output ~/Desktop/voyager-sdk/chinmay/saved_videos/output.mp4The model failed to run due to a ShapeInferenceError related to incompatibl

331

27 days ago

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